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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Code and documentation to train Stanford's Alpaca models, and generate the data.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Code for the paper "Language Models are Unsupervised Multitask Learners"
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
PyTorch implementations of Generative Adversarial Networks.
GPT-powered chat for documentation, chat with your documents
🐚 Python-powered shell. Full-featured and cross-platform.
A framework for few-shot evaluation of language models.
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
A simple but complete full-attention transformer with a set of promising experimental features from various papers
An unnecessarily tiny implementation of GPT-2 in NumPy.
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
Image Completion with Deep Learning in TensorFlow
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
Learning deep representations by mutual information estimation and maximization